Guozhong Li's research while affiliated with Harbin Medical University and other places

Background There is limited research on the relevance of neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) in patients diagnosed with relapse-remitting multiple sclerosis (RRMS). Objective The main objective of this study was to evaluate the significance of NLR, MLR, and PLR levels in the peripheral blood of patients diagnosed with RRMS. Methods A total of 109 patients with RRMS recruited from the Department of Neurology, the First Affiliated Hospital of Harbin Medical University from January 2018 to January 2024 were retrospectively analyzed, and 71 healthy population as controls (HC). Clinical data including age, sex, blood routine, serum uric acid (SUA),radiological investigations including magnetic resonance imaging (MRI) of brain and spinal cord were done(A standardized protocol of MRI comprising T2-weighted and T1-weighted gadolinium enhancing were performed using 3.0 Tesla superconducting MR imager)and Extended Disability Status Scale (EDSS) of all RRMS patients were collected. Results The levels of NLR, MLR and PLR were significantly higher in RRMS patients compared to the HC. RRMS patients with moderate-severe disability had higher NLR and MLR levels than those with mild disability. Logistic regression analysis showed that NLR was associated with disease disability (odds ratio(OR):1.470; confidence interval(CI):1.024–1.153; P:0.046). The cutoff value for the NLR to predict RRMS disability was 2.17.NLR was higher in RRMS patients with disease activity than in those without activity (p = 0.045), while SUA was lower in RRMS patients with disease activity than in those without activity (p = 0.033). Compared with HC,RRMS patients had lower SUA levels (p = 0.008). Additionally, SUA levels decreased with the increase of EDSS scores (P = 0.003), and NLR value was negatively correlated with SUA (p = 0.022). Conclusions The levels of NLR,MLR and PLR in peripheral blood of RRMS patients in the acute phase are higher than those of healthy people, and NLR has a certain predictive value for the severity of disability. Furthermore, we suggest that NLR and SUA are related to the disability and activity of RRMS, albeit exerting opposing effects on the disease.

In the current study, we aimed to investigate whether disulfiram (DSF) plays a neuroprotective role in cerebral ischemia-reperfusion (CI-RI) injury by regulating ferredoxin 1 (FDX1) by modulating copper ion (Cu) levels and inhibiting the inflammatory response. To simulate CI-RI, a transient middle cerebral artery occlusion (tMCAO) model in C57/BL6 mice was employed. Mice were administered with or without DSF before and after tMCAO. Changes in infarct volume after tMCAO were observed using TTC staining. Nissl staining and hematoxylin-eosin (he) staining were used to observe the morphological changes of nerve cells at the microscopic level. FDX1 is the main regulatory protein of copper death, and the occurrence of copper death will lead to the increase of HSP70 stress and inflammatory response. Cuproptosis-related proteins and downstream inflammatory factors were detected by western blotting, immunofluorescence staining, and immunohistochemistry. The content of copper ions was detected using a specific kit, while electron microscopy was employed to examine mitochondrial changes. We found that DSF reduced the cerebral infarction volume, regulated the expression of cuproptosis-related proteins, and reduced FDX1 expression without inducing Cu accumulation. Moreover, DSF inhibited the HSP70/TLR-4/NLRP3 signaling pathway. Collectively, DSF could regulate Cu homeostasis by inhibiting FDX1, acting on the HSP70/TLR4/NLRP3 pathway to alleviate CI/RI. Accordingly, DSF could mitigate inflammatory responses and safeguard mitochondrial integrity, yielding novel therapeutic targets and mechanisms for the clinical management of ischemia-reperfusion injury.

Interferon-beta (IFN-β) is one of the classical drugs for immunomodulatory therapy in relapsing-remitting multiple sclerosis (RRMS) patients, but the drug responsiveness of different patients varies. Currently, there is no valid model to predict IFN-β responsiveness. This research attempted to develop an IFN-β responsiveness prediction model based on mRNA expression in RRMS patient peripheral blood mononuclear cells. Peripheral blood mononuclear cell mRNA expression datasets including 50 RRMS patients receiving IFN-β treatment were obtained from GEO. Among the datasets, 24 cases from GSE24427 were included in a training set, and 18 and 9 cases from GSE19285 and GSE33464, respectively, were adopted as two independent test sets. In the training set, blood samples were collected immediately before first, second, month 1, 12, and 24 IFN-β injection, and the mRNA expression data at four time points, namely, two days, one month, one year and two years after the onset of IFN-β treatment, were compared with pre-treatment data to identify IFN-stimulated genes (ISGs). The ISGs at the one-month time point were used to construct the drug responsiveness prediction model. Next, the drug responsiveness model was verified in the two independent test sets to examine the performance of the model in predicting drug responsiveness. Finally, we used CIBERSORTx to estimate the content of cell subtypes in samples and evaluated whether differences in the proportions of cell subtypes were related to differences in IFN-β responsiveness. Among the four time points, one month was the time point when the training set GSE24427 and test set GSE33464 had the highest number of ISGs. Functional analysis showed that these one-month ISGs were enriched in biological functions such as the innate immune response, type-I interferon signalling pathway, and other IFN-β-associated functions. Based on these ISGs, we obtained a four-factor prediction model for IFN-β responsiveness including MX1, MX2, XAF1, and LAMP3. In addition, the model demonstrated favourable predictive performance within the training set and two external test sets. A higher proportion of activated NK cells and lower naive CD4/total CD4 ratio might indicate better drug responsiveness. This research developed a polygene-based biomarker model that could predict RRMS patient IFN-β responsiveness in the early treatment period. This model could probably help doctors screen out patients who would not benefit from IFN-β treatment early and determine whether a current treatment plan should be continued.

Arterial occlusion-induced ischemic stroke (IS) is a highly frequent stroke subtype. Nuclear factor erythroid 2-related factor 2 (NRF2) is a transcription factor that modulates antioxidant genes. Its role in IS is still unelucidated. The current study focused on constructing a transient middle cerebral artery occlusion (tMCAO) model for investigating the NRF2-related mechanism underlying cerebral ischemia/reperfusion (I/R) injury. Each male C57BL/6 mouse was injected with/with no specific NRF2 activator post-tMCAO. Changes in blood–brain barrier (BBB)-associated molecule levels were analyzed using western-blotting, PCR, immunohistochemistry, and immunofluorescence analysis. NRF2 levels within cerebral I/R model decreased at 24-h post-ischemia. NRF2 activation improved brain edema, infarct volume, and neurological deficits after MCAO/R. Similarly, sulforaphane (SFN) prevented the down-regulated tight junction proteins occludin and zonula occludens 1 (ZO-1) and reduced the up-regulated aquaporin 4 (AQP4) and matrix metalloproteinase 9 (MMP9) after tMCAO. Collectively, NRF2 exerted a critical effect on preserving BBB integrity modulating ferroptosis and inflammation. Because NRF2 is related to BBB injury regulation following cerebral I/R, this provides a potential therapeutic target and throws light on the underlying mechanism for clinically treating IS.

Respiratory muscle paralysis is known as a very common complication of Guillain–Barré syndrome (GBS). However, most research has focused on its later stages rather than its earlier stages, including the prognosis of patients with this condition, or factors that act as early predictors of risk. Therefore, our study aimed to identify early predictors of respiratory muscle paralysis in patients with GBS and determine the short-term prognosis of such patients. We recruited 455 GBS patients (age ≥ 18) who had been hospitalized in the First Affiliated Hospital of Harbin Medical University between 2016 and 2021, retrospectively. We recorded clinical and laboratory data and used linear and logistic regression analysis to investigate the relationship between early clinical, examination results, and subsequent respiratory muscle paralysis. Among the 455 patients, 129 were assigned to a respiratory muscle paralysis group and 326 were assigned to a non-respiratory muscle paralysis group. Compared with the non-affected group, the time from onset to admission was shorter (p = 0.0003), and the Medical Research Council (MRC) score at admission and discharge was smaller in the affected group (p < 0.0001). Compared with the non-affected group, the affected group had higher Hughes and Erasmus GBS Respiratory Insufficiency Score (EGRIS) scores at admission and longer hospital stays (p < 0.0001). Patients in the affected group were more likely to have bulbar palsy and lung infections (p < 0.0001). To conclude, bulbar palsy, a higher EGRIS score and Hughes score at admission, a lower MRC score, and a shorter time between onset and admission, are all predictive risk factors for respiratory muscle paralysis in patients with GBS. An increase in any of these factors increases the risk of muscle paralysis. Patients with respiratory muscle paralysis have a poorer short-term prognosis than those without respiratory muscle paralysis. Therefore, we should attempt to identify patients with one or more of these characteristics in the early stages of admission, provide ventilation management, and administer IMV treatment if necessary.

Background: Ischemic stroke represents a major factor causing global morbidity and death. Bone marrow mesenchymal stem cell (BMSC)-derived exosomes (Exos) have important effects on treating ischemic stroke. Here, we investigated the therapeutic mechanism by which BMSC-derived exosomal miR-193b-5p affects ischemic stroke. Methods: luciferase assay was performed to evaluate the regulatory relationship of miR-193b-5p with absent in melanoma 2 (AIM2). Additionally, an oxygen-glucose deprivation/reperfusion (OGD/R) model was constructed for the in vitro assay, while a middle cerebral artery occlusion (MCAO) model was developed for the in vivo assay. After exosome therapy, lactate dehydrogenase and MTT assays were conducted to detect cytotoxicity and cell viability, while PCR, ELISA, western blotting assay, and immunofluorescence staining were performed to detect changes in the levels of pyroptosis-related molecules. TTC staining and TUNEL assays were performed to assess cerebral ischemia/reperfusion (I/R) injury. Results: In the luciferase assay, miR-193b-5p showed direct binding to the 3'-untranslated region of AIM2. In both in vivo and in vitro assays, the injected exosomes could access the sites of ischemic injury and could be internalized. In the in vitro assay, compared to normal BMSC-Exos, miR-193b-5p-overexpressing BMSC-Exos showed greater effects on increasing cell viability and attenuating cytotoxicity; AIM2, GSDMD-N, and cleaved caspase-1 levels; and IL-1β/IL-18 generation. In the in vivo assay, compared to normal BMSC-Exos, miR-193b-5p-overexpressing BMSC-Exos showed greater effects on decreasing the levels of these pyroptosis-related molecules and infarct volume. Conclusion: BMSC-Exos attenuate the cerebral I/R injury in vivo and in vitro by inhibiting AIM2 pathway-mediated pyroptosis through miR-193b-5p delivery.

Guillain–Barré syndrome (GBS) is an autoimmune disorder wherein the composition and gene expression patterns of peripheral blood immune cells change significantly. It is triggered by antigens with similar epitopes to Schwann cells that stimulate a maladaptive immune response against peripheral nerves. However, an atlas for peripheral blood immune cells in patients with GBS has not yet been constructed. This is a monocentric, prospective study. We collected 5 acute inflammatory demyelinating polyneuropathy (AIDP) patients and 3 healthy controls hospitalized in the First Affiliated Hospital of Harbin Medical University from December 2020 to May 2021, 3 AIDP patients were in the peak stage and 2 were in the convalescent stage. We performed single-cell RNA sequencing (scRNA-seq) of peripheral blood mononuclear cells (PBMCs) from these patients. Furthermore, we performed cell clustering, cell annotation, cell–cell communication, differentially expressed genes (DEGs) identification and pseudotime trajectory analysis. Our study identified a novel clonally expanded CD14+ CD163+ monocyte subtype in the peripheral blood of patients with AIDP, and it was enriched in cellular response to IL1 and chemokine signaling pathways. Furthermore, we observed increased IL1β–IL1R2 cell–cell communication between CD14+ and CD16+ monocytes. In short, by analyzing the single-cell landscape of the PBMCs in patients with AIDP we hope to widen our understanding of the composition of peripheral immune cells in patients with GBS and provide a theoretical basis for future studies.

Background Immune infiltration plays an important role in the course of ischemic stroke (IS) progression. Cuproptosis is a newly discovered form of programmed cell death. To date, no studies on the mechanisms by which cuproptosis-related genes regulate immune infiltration in IS have been reported. Methods IS-related microarray datasets were retrieved from the Gene Expression Omnibus (GEO) database and standardized. Immune infiltration was extracted and quantified based on the processed gene expression matrix. The differences between the IS group and the normal group as well as the correlation between the infiltrating immune cells and their functions were analyzed. The cuproptosis-related DEGs most related to immunity were screened out, and the risk model was constructed. Finally, Gene Ontology (GO) function, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and drug target were performed using the Enrichr website database. miRNAs were predicted using FunRich software. Finally, cuproptosis-related differentially expressed genes (DEGs) in IS samples were typed, and Gene Set Variation Analysis (GSVA) was used to analyze the differences in biological functions among the different types. Results Seven Cuproptosis-related DEGs were obtained by merging the GSE16561 and GSE37587 datasets. Correlation analysis of the immune cells showed that NLRP3, NFE2L2, ATP7A, LIPT1, GLS, and MTF1 were significantly correlated with immune cells. Subsequently, these six genes were included in the risk study, and the risk prediction model was constructed to calculate the total score to analyze the risk probability of the IS group. KEGG analysis showed that the genes were mainly enriched in the following two pathways: D-glutamine and D-glutamate metabolism; and lipids and atherosclerosis. Drug target prediction found that DMBA CTD 00007046 and Lithocholate TTD 00009000 were predicted to have potential therapeutic effects of candidate molecules. GSVA showed that the TGF-β signaling pathway and autophagy regulation pathways were upregulated in the subgroup with high expression of cuproptosis-related DEGs. Conclusions NLRP3, NFE2L2, ATP7A, LIPT1, GLS and MTF1 may serve as predictors of cuproptosis and play an important role in the pathogenesis of immune infiltration in IS.